Triple
T629764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arsenal F.C. |
E15898
|
entity |
| Predicate | EuropaLeagueRunnersUp |
P2690
|
FINISHED |
| Object | 2018–19 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 2018–19 | Statement: [Arsenal F.C., EuropaLeagueRunnersUp, 2018–19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropaLeagueRunnersUp Context triple: [Arsenal F.C., EuropaLeagueRunnersUp, 2018–19]
-
A.
EuropeanChampionshipRunnersUp
Indicates that an entity finished in second place (as runners-up) in a European Championship competition.
-
B.
EuropeanChampionshipRunnerUpIn
Indicates that an entity finished in second place in a specified European Championship competition or edition.
-
C.
runnerUpLeague
chosen
Indicates that an entity finished in second place in a league competition.
-
D.
EuropeanFinalAppearance
Indicates that an entity has participated in the final match or stage of a European-level competition or tournament.
-
E.
EuropeanCupTitles
Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec051bc8190b3e3f8651a367d77 |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d01b29081908be87e4cd7726ff1 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.